Vicent J. Ribas

According to our database, Vicent J. Ribas authored at least 25 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Respect for Autonomy in the Machine Learning Pipeline.

Paula Subías-Beltrán, Oriol Pujol, Itziar de Lecuona, Vicent J. Ribas Ripoll

Proceedings of the Artificial Intelligence Research and Development, 2023

2021

Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks.

Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester

Medical Image Anal., 2021

An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth.

Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent J. Ribas, Gemma Piella, Miguel Ángel González Ballester

CoRR, 2021

Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans.

Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent J. Ribas, Gemma Piella, Miguel Ángel González Ballester

CoRR, 2021

CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation.

Giuseppe Pezzano, Vicent J. Ribas Ripoll, Petia Radeva

Comput. Methods Programs Biomed., 2021

CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation.

Giuseppe Pezzano, Oliver Díaz, Vicent J. Ribas Ripoll, Petia Radeva

Comput. Biol. Medicine, 2021

2020

Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks.

Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester

CoRR, 2020

Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline.

Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester

Comput. Methods Programs Biomed., 2020

2019

Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study.

Mireia Calvo, Isaac Cano, Carme Hernández, Vicent J. Ribas, Felip Miralles, Josep Roca, Raimon Jané

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data.

María Gabriela Valdés, Iván Galván-Femenía, Vicent J. Ribas Ripoll, Xavier Duran, Jun Yokota, Ricard Gavaldà, Xavier Rafael-Palou, Rafael de Cid

BMC Syst. Biol., 2018

Big Data Analytics for Obesity Prediction.

Ahsan Bilal, Alfredo Vellido, Vicent J. Ribas

Proceedings of the Artificial Intelligence Research and Development, 2018

2017

Machine Learning for Critical Care: An Overview and a Sepsis Case Study.

Alfredo Vellido, Vicent J. Ribas, Carles Morales, Adolfo Ruiz-Sanmartin, Juan Carlos Ruiz-Rodríguez

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016

ECG assessment based on neural networks with pretraining.

Vicent J. Ribas Ripoll, Anna Wojdel, Enrique Romero, Pablo Ramos, Josep Brugada

Appl. Soft Comput., 2016

Applying Conditional Independence Maps to Improve Sepsis Prognosis.

Carles Morales, Vicent J. Ribas, Alfredo Vellido

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Metabolite analysis in sepsis through conditional independence maps.

Vicent J. Ribas Ripoll, Eduardo Romay, Laura Brunelli, Roberta Pastorelli, Gemma Gomà, Ana Navas, Antoni Artigas, Ricard Ferrer

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Robust detection of ECG waves.

Anna Wojdel, Vicent J. Ribas Ripoll, Miguel Teixidó-Román, Pablo Ramos, Josep Brugada

Proceedings of the Computing in Cardiology, 2015

2014

Sepsis mortality prediction with the Quotient Basis Kernel.

Vicent J. Ribas Ripoll, Alfredo Vellido, Enrique Romero, Juan Carlos Ruiz-Rodríguez

Artif. Intell. Medicine, 2014

Assessment of Electrocardiograms with Pretraining and Shallow Networks.

Vicent J. Ribas Ripoll, Anna Wojdel, Pablo Ramos, Enrique Romero, Josep Brugada

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013

On the intelligent management of sepsis in the intensive care unit.

Vicent J. Ribas

PhD thesis, 2013

A quotient basis kernel for the prediction of mortality in severe sepsis patients.

Vicent J. Ribas Ripoll, Enrique Romero, Juan Carlos Ruiz-Rodríguez, Alfredo Vellido

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" [Expert Systems with Applications 39 (2) (2012) 1937-1943].

Vicent J. Ribas, Alfredo Vellido, Juan Carlos Ruiz-Rodríguez, Jordi Rello

Expert Syst. Appl., 2012

Severe sepsis mortality prediction with logistic regression over latent factors.

Vicent J. Ribas, Alfredo Vellido, Juan Carlos Ruiz-Rodríguez, Jordi Rello

Expert Syst. Appl., 2012

2011

Severe sepsis mortality prediction with relevance vector machines.

Vicent J. Ribas, Jesús Caballero Lopez, Adolf Ruiz-Sanmartin, Juan Carlos Ruiz-Rodríguez, Jordi Rello, Anna Wojdel, Alfredo Vellido

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins.

Vicent J. Ribas, Jesús Caballero Lopez, Juan Carlos Ruiz-Rodríguez, Adolf Ruiz-Sanmartin, Jordi Rello, Alfredo Vellido

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins.

Vicent J. Ribas, Jesús Caballero Lopez, Anna Sáez de Tejada, Juan Carlos Ruiz-Rodríguez, Adolfo Ruiz-Sanmartin, Jordi Rello, Alfredo Vellido

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011